The Normalized Difference Vegetation Index (NDVI) is a simple numerical indicator that can be used to analyze remote sensing measurements, typically but not necessarily from a space platform, and assess whether the target being observed contains live green vegetation or not. NDVI was developed from the 2006 Color Infrared (CIR) imagery at 4-inch resolution which contains the Red and Near Infrared (NIR) Bands. Click here for more information

NDVI values range between -1 and 1. Values > 0.1 are generally green vegetation, while values < 0.1 show things like buildings, streets, water and bare dirt.

For more information on NDVI, read the wikipedia entry.

This dataset was developed by the County of Los Angeles Chief Information Office in support of the LA County Solar Map Application (http://solarmap.lacounty.gov). A solar model based upon the high-resolution digital aerial elevation data included the tops of trees, the ground, and other features that would skew any solar results. For example – the top of a tree appeared to the solar model to be a prime candidate for solar photovoltaic installation due to the amount of sunlight it received, but this was obviously incorrect, and some way needed to be found to focus exclusively on building tops for the purpose of the site.

The Normalized Difference Vegetation Index (NDVI) is a simple numerical indicator that can be used to analyze remote sensing measurements, typically but not necessarily from a space platform, and assess whether the target being observed contains live green vegetation or not. NDVI was developed from the 2006 Color Infrared (CIR) imagery at 4-inch resolution which contains the Red and Near Infrared (NIR) Bands. Click here for more information

NDVI values range between -1 and 1. Values > 0.1 are generally green vegetation, while values < 0.1 show things like buildings, streets, water and bare dirt.

For more information on NDVI, read the wikipedia entry.

This dataset was developed by the County of Los Angeles Chief Information Office in support of the LA County Solar Map Application (http://solarmap.lacounty.gov). A solar model based upon the high-resolution digital aerial elevation data included the tops of trees, the ground, and other features that would skew any solar results. For example – the top of a tree appeared to the solar model to be a prime candidate for solar photovoltaic installation due to the amount of sunlight it received, but this was obviously incorrect, and some way needed to be found to focus exclusively on building tops for the purpose of the site.